Problem or Industrial Need
Conductive nanocomposite design depends on predicting when random CNT networks establish electron transport and how tunnelling distance affects conductivity.
Engineering or Scientific Solution
Parallel three-dimensional resistor-network and finite-element models validated against electrical measurements.
Sebastian's Technical Contribution
Developed numerical models and software, performed formal analysis and compared predicted conductivity with experiments.
Methods and Tools Used
- MATLAB resistor-network modelling
- DIGIMAT finite-element analysis
- Tunnelling-distance and percolation-probability analysis
- Electrical measurement validation
Prototype, Simulation and Experimental Evidence
Two numerical methods
Resistor-network and FEM approaches independently evaluated electrical transport.
Conductivity measurements
Measured nanocomposite behaviour provided the validation reference.
Materials Today: Proceedings 2022
Peer-reviewed experimental and numerical investigation.
Measurable Result or Published Finding
reported percolation threshold
Both modelling approaches captured the experimentally observed conductivity transition.
Diagrams and Publications
Models are tested against experiments and returned to engineering decisions.
Effect of CNT Additives on the Electrical Properties of Derived Nanocomposites: Experimental and Numerical Investigation
Experimental validation of resistor-network and finite-element models for conductivity and electrical percolation.
The Effect of Agglomeration on the Electrical and Mechanical Properties of Polymer Matrix Nanocomposites Reinforced with Carbon Nanotubes
Combined experiment, RVE, FEA and resistor-network analysis of agglomeration, porosity, mechanics and conductivity.
Role, Team Attribution, Institution and Project Context
Lead author and Doctoral Researcher; software, investigation, modelling and formal analysis.